246
Views
51
CrossRef citations to date
0
Altmetric
ORIGINAL ARTICLES

Monitoring the process mean and variance using a weighted loss function CUSUM scheme with variable sampling intervals

&
Pages 377-387 | Received 01 Oct 2002, Accepted 01 Mar 2005, Published online: 23 Feb 2007

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (18)

Nasir Abbas. (2023) On efficient change point detection using a step cumulative sum control chart. Quality Engineering 0:0, pages 1-17.
Read now
Farah Arif, Muhammad Noor-ul-Amin & Muhammad Hanif. (2022) Joint monitoring of mean and variance under double ranked set sampling using likelihood ratio test statistic. Communications in Statistics - Theory and Methods 51:17, pages 6032-6048.
Read now
Vasileios Alevizakos & Christos Koukouvinos. (2022) A progressive mean control chart for COM-Poisson distribution. Communications in Statistics - Simulation and Computation 51:3, pages 849-867.
Read now
Saba Abbasi & Abdul Haq. (2019) Optimal CUSUM and adaptive CUSUM charts with auxiliary information for process mean. Journal of Statistical Computation and Simulation 89:2, pages 337-361.
Read now
Konstantinos A. Tasias & George Nenes. (2018) Economic−statistical design of Vp control schemes for joint monitoring of mean and variance in the presence of multiple assignable causes. Quality Technology & Quantitative Management 15:4, pages 484-506.
Read now
Baocai Guo & Bing Xing Wang. (2016) The variable sampling interval S2 chart with known or unknown in-control variance. International Journal of Production Research 54:11, pages 3365-3379.
Read now
Shichang Du, Xufeng Yao & Delin Huang. (2015) Engineering model-based Bayesian monitoring of ramp-up phase of multistage manufacturing process. International Journal of Production Research 53:15, pages 4594-4613.
Read now
Muhammad Riaz. (2015) Control charting and survey sampling techniques in process monitoring. Journal of the Chinese Institute of Engineers 38:3, pages 342-354.
Read now
Ching Chun Huang. (2014) Max control chart with adaptive sample sizes for jointly monitoring process mean and standard deviation. Journal of the Operational Research Society 65:12, pages 1788-1799.
Read now
Shabbir Ahmad, Muhammad Riaz, Saddam Akber Abbasi & Zhengyan Lin. (2014) On efficient median control charting. Journal of the Chinese Institute of Engineers 37:3, pages 358-375.
Read now
Su-Fen Yang. (2013) Using a Single Average Loss Control Chart to Monitor Process Mean and Variability. Communications in Statistics - Simulation and Computation 42:7, pages 1549-1562.
Read now
Chih-Ching Yang & Su-Fen Yang. (2013) Optimal variable sample size and sampling interval ‘mean squared error’ chart. The Service Industries Journal 33:6, pages 652-665.
Read now
Yu-Ting Cheng, Chih-Ching Yang & Sou-Chein Wu. (2013) Optimal Variable Sample Size and Sampling Interval MSE Chart Based on Improved Square Root Transformation. Communications in Statistics - Simulation and Computation 42:3, pages 534-551.
Read now
S.Y. Teh, MichaelB. C. Khoo & Zhang Wu. (2012) Monitoring Process Mean and Variance with a Single Generally Weighted Moving Average Chart. Communications in Statistics - Theory and Methods 41:12, pages 2221-2241.
Read now
MarionR. Reynolds$suffix/text()$suffix/text() & Gyo-Young Cho. (2011) Multivariate Control Charts for Monitoring the Mean Vector and Covariance Matrix with Variable Sampling Intervals. Sequential Analysis 30:1, pages 1-40.
Read now
Ming Jin, Yanting Li & Fugee Tsung. (2010) Chart allocation strategy for serial-parallel multistage manufacturing processes. IIE Transactions 42:8, pages 577-588.
Read now
Ming Jin & Fugee Tsung. (2009) A chart allocation strategy for multistage processes. IIE Transactions 41:9, pages 790-803.
Read now
Zhang Wu, Jianxin Jiao, Mei Yang, Ying Liu & Zhaojun Wang. (2009) An enhanced adaptive CUSUM control chart. IIE Transactions 41:7, pages 642-653.
Read now

Articles from other publishers (33)

Zahra Jalilibal, Amirhossein Amiri & Michael B.C. Khoo. (2022) A literature review on joint control schemes in statistical process monitoring. Quality and Reliability Engineering International 38:6, pages 3270-3289.
Crossref
Nasir Abbas, Shabbir Ahmad & Muhammad Riaz. (2022) Reintegration of auxiliary information based control charts. Computers & Industrial Engineering 171, pages 108479.
Crossref
Su-Fen Yang & Shan-Wen Lu. 2021. Frontiers in Statistical Quality Control 13. Frontiers in Statistical Quality Control 13 65 76 .
Babar Zaman, Muhammad Hisyam Lee, Muhammad Riaz & Mu'azu Ramat Abujiya. (2020) An improved process monitoring by mixed multivariate memory control charts: An application in wind turbine field. Computers & Industrial Engineering 142, pages 106343.
Crossref
Babar Zaman, Muhammad Hisyam Lee, Muhammad Riaz & Mu'azu Ramat Abujiya. (2019) An adaptive approach to EWMA dispersion chart using Huber and Tukey functions. Quality and Reliability Engineering International 35:6, pages 1542-1581.
Crossref
Babar Zaman, Muhammad Hisyam Lee, Muhammad Riaz & Mu'azu Ramat Abujiya. (2019) An adaptive EWMA chart with CUSUM accumulate error-based shift estimator for efficient process dispersion monitoring. Computers & Industrial Engineering 135, pages 236-253.
Crossref
Shahid Hussain, Li-xin Song, Shabbir Ahmad & Muhammad Riaz. (2019) A new auxiliary information based cumulative sum median control chart for location monitoring. Frontiers of Information Technology & Electronic Engineering 20:4, pages 554-570.
Crossref
Michael B.C. Khoo, May Yen See, Nger Ling Chong & Wei Lin Teoh. (2018) An improved variable sample size and sampling interval S control chart . Quality and Reliability Engineering International 35:1, pages 392-404.
Crossref
Jyun-You Chiang, Tzong-Ru Tsai & Nan-Cheng Su. (2018) Adaptive control charts for skew-normal distribution. Quality and Reliability Engineering International 34:4, pages 589-608.
Crossref
Babar Zaman, Nasir Abbas, Muhammed Riaz & Muhammad Hisyam Lee. (2016) Mixed CUSUM-EWMA chart for monitoring process dispersion. The International Journal of Advanced Manufacturing Technology 86:9-12, pages 3025-3039.
Crossref
Muhammad Riaz & Sajid Ali. (2016) On process monitoring using location control charts under different loss functions. Transactions of the Institute of Measurement and Control 38:9, pages 1107-1119.
Crossref
Babar Zaman, Muhammad Riaz, Nasir Abbas & Ronald J.M.M. Does. (2015) Mixed Cumulative Sum-Exponentially Weighted Moving Average Control Charts: An Efficient Way of Monitoring Process Location. Quality and Reliability Engineering International 31:8, pages 1407-1421.
Crossref
Stelios Psarakis. (2015) Adaptive Control Charts: Recent Developments and Extensions. Quality and Reliability Engineering International 31:7, pages 1265-1280.
Crossref
S.L. Lim, Michael B.C. Khoo, W.L. Teoh & M. Xie. (2015) Optimal designs of the variable sample size and sampling interval chart when process parameters are estimated . International Journal of Production Economics 166, pages 20-35.
Crossref
Christopher S. Withers & Saralees Nadarajah. (2015) A GENERAL CLASS OF CUSUM STATISTICS. Probability in the Engineering and Informational Sciences 29:3, pages 361-384.
Crossref
Muhammad Riaz. (2015) On Enhanced Interquartile Range Charting for Process Dispersion. Quality and Reliability Engineering International 31:3, pages 389-398.
Crossref
Abdul Haq, Jennifer Brown & Elena Moltchanova. (2015) An Improved Maximum Exponentially Weighted Moving Average Control Chart for Monitoring Process Mean and Variability. Quality and Reliability Engineering International 31:2, pages 265-290.
Crossref
Babar Zaman, Muhammad Riaz, Shabbir Ahmad & Saddam Akber Abbasi. (2014) On artificial neural networking-based process monitoring under bootstrapping using runs rules schemes. The International Journal of Advanced Manufacturing Technology 76:1-4, pages 311-327.
Crossref
Su‐Fen Yang & Liang‐Yu Lin. (2014) Monitoring and Diagnosing Process Loss Using a Weighted‐Loss Control Chart. Quality and Reliability Engineering International 30:7, pages 951-959.
Crossref
Chung Ming Yang, Su Fen Yang & Jeng Sheng Lin. (2014) A New EWMA Loss Control Chart with Adaptive Control Scheme. Applied Mechanics and Materials 631-632, pages 12-17.
Crossref
Shabbir Ahmad, Saddam Akber Abbasi, Muhammad Riaz & Nasir Abbas. (2014) On efficient use of auxiliary information for control charting in SPC. Computers & Industrial Engineering 67, pages 173-184.
Crossref
Su-Fen Yang. (2013) Using a new VSI EWMA average loss control chart to monitor changes in the difference between the process mean and target and/or the process variability. Applied Mathematical Modelling 37:16-17, pages 7973-7982.
Crossref
Shabbir Ahmad, Muhammad Riaz, Saddam Akber Abbasi & Zhengyan Lin. (2013) On monitoring process variability under double sampling scheme. International Journal of Production Economics 142:2, pages 388-400.
Crossref
Yanjing Ou, Zhang Wu & Fugee Tsung. (2012) A comparison study of effectiveness and robustness of control charts for monitoring process mean. International Journal of Production Economics 135:1, pages 479-490.
Crossref
S.Y. Teh, Michael B.C. Khoo & Z. Wu. (2011) A sum of squares double exponentially weighted moving average chart. Computers & Industrial Engineering 61:4, pages 1173-1188.
Crossref
Yanjing Ou, Zhang Wu, Fong-Jung Yu & Mohammad Shamsuzzaman. (2011) An SPRT control chart with variable sampling intervals. The International Journal of Advanced Manufacturing Technology 56:9-12, pages 1149-1158.
Crossref
Su-Fen Yang & Chih-Ching Yang. (2011) Optimal variable sample size and sampling interval MSE chart. Optimal variable sample size and sampling interval MSE chart.
Michael Boon Chong Khoo, Zhang Wu, Chung-Ho Chen & Kah Wai Yeong. (2009) Using one EWMA chart to jointly monitor the process mean and variance. Computational Statistics 25:2, pages 299-316.
Crossref
Zhang Wu, Jianxin Jiao & Zhen He. (2009) A single control chart for monitoring the frequency and magnitude of an event. International Journal of Production Economics 119:1, pages 24-33.
Crossref
Zhang Wu & Mei Yang. (2008) An adaptive CUSUM chart with exponential of mean shift. An adaptive CUSUM chart with exponential of mean shift.
Yu‐Chang Lin & Chao‐Yu Chou. (2008) The variable sampling rate X̄ control charts for monitoring autocorrelated processes . Quality and Reliability Engineering International 24:7, pages 855-870.
Crossref
Jun Du, Zhang Wu & Roger J. Jiao. (2008) An improved adaptive CUSUM control chart for monitoring process mean. An improved adaptive CUSUM control chart for monitoring process mean.
Zhang Wu, Sheng Zhang & Penghui Wang. (2007) A CUSUM scheme with variable sample sizes and sampling intervals for monitoring the process mean and variance. Quality and Reliability Engineering International 23:2, pages 157-170.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.